Beginner question

A clear path is to start with general AI basics, then move into Azure-focused AI once the fundamentals are comfortable.

Recommended order based on beginner content in the context:

1. Learn core AI concepts and basic prompting
   Start with a short, very introductory module:
   • Get started with AI: Covers basic AI terms, how AI tools work at a high level, and prompting best practices (how to “talk” to AI). It also walks through simple tasks like summarizing articles and creating images using AI tools.
2. Build broad AI fluency (still beginner level)
   Next, get a wider understanding of what AI can do and how it’s used:
   • AI Fluency learning path:
     • Explore AI basics: history and foundational concepts.
     • Explore Generative AI: how tools like large language models generate content.
     • Explore internet search and beyond: search vs reasoning engines and prompt engineering.
     • Explore responsible AI: how to use AI safely and responsibly.
     • Get started with Microsoft Copilot and Boost your productivity with Microsoft Copilot: practical experience interacting with a GPT-based assistant.
3. Introduce AI on Azure (high-level overview)
   Once the general ideas feel familiar, move into Azure-specific AI:
   • Microsoft Azure AI Fundamentals: AI Overview learning path:
     • Introduction to AI concepts and Introduction to machine learning concepts: reinforce fundamentals.
     • Fundamentals of Azure AI services: shows how Azure provides AI capabilities (language, vision, etc.) that are also relevant when later using Azure OpenAI.
4. Focus on AI in Azure, including generative AI
   With the above in place, move to a broader Azure AI path that includes generative AI:
   • Introduction to AI in Azure learning path:
     • Introduction to AI concepts and Introduction to machine learning concepts (good reinforcement).
     • Introduction to generative AI concepts and Get started with generative AI in Azure: these are closest to Azure OpenAI scenarios, showing how to build generative AI apps in Azure AI Foundry.
     • Follow-on modules for language, speech, vision, and information extraction give a full picture of Azure AI services around Azure OpenAI.
5. Optionally, explore AI for startups or education (if relevant)
   • AI for startups learning collections: if working in or with a startup, this shows how AI tools (including Azure-based ones) fit into startup scenarios, from beginner to advanced.
   • Introduction to artificial intelligence for trainers or AI for educators: if the goal is teaching or training others, these show how to apply AI in educational settings.

A simple starting sequence could be:

1. Get started with AI → 2) AI Fluency → 3) Microsoft Azure AI Fundamentals: AI Overview → 4) Introduction to AI in Azure (especially the generative AI modules).

References:

• Get started with AI
• AI Fluency
• Microsoft Azure AI Fundamentals: AI Overview
• Introduction to AI in Azure
• AI for startups learning collections
• Introduction to artificial intelligence for trainers
• AI for educators
• Equip and support learners with AI tools from Microsoft